Detalhes do Livro
Formato
Kindle
Páginas
416
Idioma
Inglês
Publicado
Aug 22, 2019
Editora
Springer
Descrição
This collection showcases the latest advancements in the fascinating realm of machine learning and knowledge extraction, highlighting insights gleaned from the third international cross-domain conference. It brings together a spectrum of perspectives from renowned experts in the field, emphasizing interdisciplinary approaches that tackle pressing challenges and harness data-driven solutions.
Readers will discover a rich tapestry of research findings, innovative methodologies, and practical applications aimed at enhancing the understanding and deployment of machine learning techniques. The contributions within blend theoretical frameworks with real-world implications, all while fostering collaboration across different domains, making it a vital resource for researchers and practitioners alike.
Readers will discover a rich tapestry of research findings, innovative methodologies, and practical applications aimed at enhancing the understanding and deployment of machine learning techniques. The contributions within blend theoretical frameworks with real-world implications, all while fostering collaboration across different domains, making it a vital resource for researchers and practitioners alike.
Gêneros
Negócios e Economia